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Predicting liver cytosol stability of small molecules

Overview of attention for article published in Journal of Cheminformatics, April 2020
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About this Attention Score

  • Above-average Attention Score compared to outputs of the same age (63rd percentile)

Mentioned by

twitter
7 X users

Citations

dimensions_citation
17 Dimensions

Readers on

mendeley
37 Mendeley
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Title
Predicting liver cytosol stability of small molecules
Published in
Journal of Cheminformatics, April 2020
DOI 10.1186/s13321-020-00426-7
Pubmed ID
Authors

Pranav Shah, Vishal B. Siramshetty, Alexey V. Zakharov, Noel T. Southall, Xin Xu, Dac-Trung Nguyen

X Demographics

X Demographics

The data shown below were collected from the profiles of 7 X users who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 37 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 37 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 5 14%
Student > Ph. D. Student 4 11%
Student > Doctoral Student 2 5%
Student > Bachelor 2 5%
Unspecified 2 5%
Other 4 11%
Unknown 18 49%
Readers by discipline Count As %
Chemistry 6 16%
Pharmacology, Toxicology and Pharmaceutical Science 3 8%
Unspecified 2 5%
Computer Science 2 5%
Psychology 1 3%
Other 3 8%
Unknown 20 54%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 4. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 11 April 2020.
All research outputs
#7,314,872
of 24,143,470 outputs
Outputs from Journal of Cheminformatics
#584
of 891 outputs
Outputs of similar age
#137,645
of 376,628 outputs
Outputs of similar age from Journal of Cheminformatics
#15
of 20 outputs
Altmetric has tracked 24,143,470 research outputs across all sources so far. This one has received more attention than most of these and is in the 69th percentile.
So far Altmetric has tracked 891 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 10.7. This one is in the 33rd percentile – i.e., 33% of its peers scored the same or lower than it.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 376,628 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 63% of its contemporaries.
We're also able to compare this research output to 20 others from the same source and published within six weeks on either side of this one. This one is in the 25th percentile – i.e., 25% of its contemporaries scored the same or lower than it.